database-proxy
Advanced tools
`database-proxy` 是一个「超级API」，一个 API 替代服务端 90% 的传统 APIs。
通过一套「访问控制规则」配置数据库访问，让前端开发者“安全直连”数据库，再也不需要和服务端对接口了！
客户端使用 `laf-client-sdk` ，像在服务端操作数据库那样，在客户端直接读写相应的数据即可。
npm install database-proxy
const app = require('express')()
const { Proxy, MongoAccessor, Policy } = require('database-proxy')
app.use(express.json())
// design the access control policy rules
const rules = {
categories: {
"read": true,
"update": "!uid",
"add": "!uid",
"remove": "!uid"
}
}
// create an accessor
const accessor = new MongoAccessor('mydb', 'mongodb://localhost:27017', { directConnection: true })
accessor.init()
// create a policy
const policy = new Policy(accessor)
policy.load(rules)
// create an proxy
const proxy = new Proxy(accessor, policy)
app.post('/proxy', async (req, res) => {
const { uid } = parseToken(req.headers['authorization'])
const injections = {
uid: uid
}
// parse params
const params = proxy.parseParams(req.body)
// validate query
const result = await proxy.validate(params, injections)
if (result.errors) {
return res.send({
code: 1,
error: result.errors
})
}
// execute query
const data = await proxy.execute(params)
return res.send({
code: 0,
data
})
})
app.listen(8080, () => console.log('listening on 8080'))
npm install laf-client-sdk
const cloud = require('laf-client-sdk').init({
dbProxyUrl: 'http://localhost:8080/proxy',
getAccessToken: () => localStorage.getItem('access_token')
})
const db = cloud.database()
// 查询文档
const res = await db.collection('categories').get()
// 条件查询
const res = await db.collection('articles')
.where({status: 'published'})
.orderBy({createdAt: 'asc'})
.offset(0)
.limit(20)
.get()
// 更新
const res = await db.collection('articles')
.doc('the-doc-id').update({
title: 'new-title'
})
更多使用参考客户端使用文档
{
"categories": {
"read": true,
"update": "$admin === true",
"add": "$admin === true",
"remove": "$admin === true"
},
"articles": {
"read": true,
"update": "$admin === true",
"add": "$admin === true",
"remove": "$admin === true"
}
}
{
"articles": {
"read": true,
"update": "$userid && $userid === query.createdBy",
"add": "$userid && data.createdBy === $userid",
"remove": "$userid === query.createBy || $admin === true"
}
}
{
"articles": {
"add": {
"condition": "$userid && data.createdBy === $userid"
},
"remove": "$userid === query.createBy || $admin === true",
"$schema": {
"title": {"length": [1, 64], "required": true},
"content": {"length": [1, 4096]},
"like": { "number": [0,], "default": 0}
}
}
}
场景介绍： 用户之间站内消息表访问规则
{
"messages": {
"read": "$userid && ($userid === query.receiver || $userid === query.sender)",
"update": {
"condition": "$userid && $userid === query.receiver",
"data": {
"read": {"in": [true]}
}
},
"add": {
"condition": "$userid && $userid === data.sender",
"data": {
"read": {"in": [false]}
}
},
"remove": false,
"$schema": {
"content": {"length": [1, 20480], "required": true},
"receiver": {"exists": "/users/id"},
"read": { "in": [true, false], "default": false }
}
}
}
安装依赖
npm i
npx mocha tests/units/*.test.js
使用 Docker 启动个测试数据库，等待mongo 启动成功
docker pull mongo
docker run --rm -p 27018:27017 --name mongotest -d mongo
执行测试用例
npx mocha tests/mongo_db/*.test.js
停止&删除 Mongo 实例
docker rm -f mongotest
使用 Docker 启动个测试数据库，等待mongo 启动成功
docker pull mysql
docker run --name mysqltest -e MYSQL_ROOT_PASSWORD=kissme -e MYSQL_DATABASE=testdb -d -p 3306:3306 mysql
手动创建测试使用的数据表：
create table IF NOT EXISTS categories (
id int not null auto_increment,
name varchar(64) not null,
created_at int,
primary key(id)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;
create table IF NOT EXISTS articles (
id int not null auto_increment,
title varchar(64) not null,
category_id int,
content text,
created_at int,
updated_at int,
created_by int,
primary key(id)
)ENGINE=InnoDB DEFAULT CHARSET=utf8;
执行测试用例
npx mocha tests/mysql_db/*.test.js
停止&删除 Mongo 实例
docker rm -f mysqltest
请确保已经运行 mongo 和 mysql 测试的实例；
npx mocha tests/**/*.test.js
1.0.0-beta.12 (2023-10-31)
FAQs
Through a set of access control rules configuration database access to realize the client directly access the database via HTTP.
The npm package database-proxy receives a total of 24 weekly downloads. As such, database-proxy popularity was classified as not popular.
We found that database-proxy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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